System and method for fully integrated regression &amp; system testing analytics

ABSTRACT

Various methods, apparatuses/systems, and media for automatically generating fully integrated regression and system testing (FIRST) analytics are disclosed. A processor accesses a production database to obtain production data associated with an application, and accesses a user acceptance testing (UAT) database to obtain UAT data associated with the application. The processor generates gap data on test coverage based on comparing the production data with the UAT data; analyzes generated gap data; automatically generates, in response to analyzing the generated gap data, executable full coverage of test scenarios for testing the application; and automatically executes testing of the application based on the generated test scenarios.

TECHNICAL FIELD

This disclosure generally relates to software testing, and, moreparticularly, to methods and apparatuses for implementing a dataanalytics and test automation module for automatically generating fullyintegrated regression and system testing (FIRST) analytics, therebysignificantly reducing STLC (Software Testing Life Cycle) duration.

BACKGROUND

As software application becomes increasingly more complex, generatingtests and testing such software application based on the tests alsobecome more complex as a large. number of unique combinations of pathsand modules may be tested for each program. Conventional tools exist forgenerating tests for software application testing which generallyrequire a significant amount of manual effort. Automation is animportant aspect in any application development and maintenance and atthe same time it is also time consuming to write scripts and maintainthose. For example, regression testing a software application oftenrequires thousands of man hours to maintain the scripts and keep themin-synch with new development as the product evolves.

In addition, typical test lifecycles may fail to cover complex end toend flows across different line of businesses; require manual effort toidentify all critical business scenarios and test cases creation; andrequire lengthy test duration and manual testing efforts to supportbusiness releases. Thus, typical test lifecycles may suffer from thefollowing disadvantages: lengthy cycles due to manual requirements andtest analysis; non optimized test cases due to hand crafted tests anddata; reliance on too many teams to gather test artefacts.

SUMMARY

The present disclosure, through one or more of its various aspects,embodiments, and/or specific features or sub-components, provides, amongother features, various systems, servers, devices, methods, media,programs, and platforms for implementing a data analytics and testautomation module that provides a unified test automation frameworkthereby reducing the need for multiple tools to support applicationsdeveloped in diverse technology platforms; supports end to end UAT (UserAcceptance Testing), regression and non-functional testing, requirementsand test coverage analysis (also referred as fingerprinting);facilitates fully automated test cases creation and data artefactsgeneration based on production events captured from pre-productionenvironment, and thereby significantly reducing STLC duration, but thedisclosure is not limited thereto.

For example, the present disclosure, through one or more of its variousaspects, embodiments, and/or specific features or sub-components, alsoprovides, among other features, various systems, servers, devices,methods, media, programs, and platforms for implementing a dataanalytics and test automation module that utilizes data analytics(fingerprint) on historical production data to identify unique set ofinputs for constructing test cases; aligns fingerprinted tests with atest automation framework; and utilizes this approach on a continuousbasis to keep the test cases optimized, and maintains test coverage atpar with production with minimal efforts (i.e., core part of FIRSTanalytics is re-usable across business domains), but the disclosure isnot limited thereto.

According to an aspect of the present disclosure, a method forautomatically generating fully integrated regression and system testing(FIRST) analytics by utilizing one or more processors and one or morememories is disclosed. The method may include: accessing a productiondatabase to obtain production data associated with an application;accessing a user acceptance testing (UAT) database to obtain UAT dataassociated with the application; generating gap data on test coveragebased on comparing the production data with the UAT data; analyzing thegenerated gap data; automatically generating, in response to analyzingthe generated gap data, executable full coverage of test scenarios fortesting the application; and automatically executing testing of theapplication based on the generated test scenarios.

According to another aspect of the present disclosure, the method mayfurther include: implementing data analytics algorithm on historicalproduction data to identify unique set of input data, received from aclient device, that represents a consumer's point of view forutilization of the application, for automatically generating the fullcoverage of test scenarios.

According to yet another aspect of the present disclosure, the methodmay further include: implementing the data analytics algorithm on thehistorical production data to identify unique set of input data; andimplementing the identified unique set of input data for re-platforming,migrating, and regression testing of the application.

According to a further aspect of the present disclosure, the method mayfurther include: aligning the full coverage of test scenarios with atest automation framework; and automatically executing end-to-end UATand regression testing of the application based on the test scenarios.

According to an additional aspect of the present disclosure, the methodmay further include: aligning the full coverage of test scenarios with atest automation framework and automatically executing end-to-endnon-functional testing of the application based on the test scenarios.

According to a further aspect of the present disclosure, wherein theproduction data may be defined and collected in view of input data,received from a client device, the input data representing a consumer'spoint of view for utilization of the application.

According to yet another aspect of the present disclosure, the methodmay further include: implementing a graphical user interface (GUI); anddisplaying the generated test scenarios and the generated gap data intest coverage onto the GUI.

According to another aspect of the present disclosure, the method mayfurther include: automatically generating test cases and data artefactsbased on production events data captured from pre-production environmentof a continuous integration continuous delivery pipeline.

According to a further aspect of the present disclosure, a system forautomatically generating fully integrated regression and system testing(FIRST) analytics is disclosed. The system may include a productiondatabase having one or more memories for storing production dataassociated with an application; a user acceptance testing (UAT) databasehaving one or more memories for storing UAT data associated with theapplication; and a processor operatively connected to the productiondatabase and the UAT database via one or more communication networks.The processor may be configured to: access the production database toobtain production data associated with an application; access the useracceptance testing (UAT) database to obtain UAT data associated with theapplication; generate gap data on test coverage based on comparing theproduction data with the UAT data; analyze the generated gap data;automatically generate, in response to analyzing the generated gap data,executable full coverage of test scenarios for testing the application;and automatically execute testing of the application based on thegenerated test scenarios.

According to another aspect of the present disclosure, wherein theprocessor may be further configured to: implement data analyticsalgorithm on historical production data to identify unique set of inputdata, received from a client device, that represents a consumer's pointof view for utilization of the application, for automatically generatingthe full coverage of test scenarios.

According to yet another aspect of the present disclosure, wherein theprocessor may be further configured to: implement the data analyticsalgorithm on the historical production data to identify unique set ofinput data; and implement the identified unique set of input data forre-platforming, migrating, and regression testing of the application.

According to a further aspect of the present disclosure, wherein theprocessor may be further configured to: align the full coverage of testscenarios with a test automation framework; and automatically executeend-to-end UAT and regression testing of the application based on thetest scenarios.

According to yet another aspect of the present disclosure, wherein theprocessor may be further configured to: implement a graphical userinterface (GUI); and display the generated test scenarios and thegenerated gap data in test coverage onto the GUI.

According to a further aspect of the present disclosure, wherein theprocessor may be further configured to: automatically generate testcases and data artefacts based on production events data captured frompre-production environment of a continuous integration continuousdelivery pipeline.

According to an aspect of the present disclosure, a non-transitorycomputer readable medium configured to store instructions forautomatically generating fully integrated regression and system testing(FIRST) analytics is disclosed. The instructions, when executed, maycause a processor to perform the following: accessing a productiondatabase to obtain production data associated with an application;accessing a user acceptance testing (UAT) database to obtain UM dataassociated with the application; generating gap data on test coveragebased on comparing the production data with the UAT data; analyzing thegenerated gap data; automatically generating, in response to analyzingthe generated gap data, executable full coverage of test scenarios fortesting the application; and automatically executing testing of theapplication based on the generated test scenarios.

According to an aspect of the present disclosure, the instructions, whenexecuted, may further cause the processor to perform the following:implementing data analytics algorithm on historical production data toidentify unique set of input data, received from a client device, thatrepresents a consumer's point of view for utilization of theapplication, for automatically generating the full coverage of testscenarios.

According to a further aspect of the present disclosure, theinstructions, when executed, may further cause the processor to performthe following: implementing the data analytics algorithm on thehistorical production data to identify unique set of input data; andimplementing the identified unique set of input data for re-platforming,migrating, and regression testing ref the application.

According to a further aspect of the present disclosure, theinstructions, when executed, may further cause the processor to performthe following: the full coverage of test scenarios with a testautomation framework; and automatically execute end-to-end UAT andregression testing ref the application based on the test scenarios.

According to another aspect of the present disclosure, the instructions,when executed, may further cause the processor to perform the following:implement a graphical user interface (GUI); and display the generatedtest scenarios and the generated gap data in test coverage onto the GUI.

According to a further aspect of the present disclosure, theinstructions, when executed, may further cause the processor to performthe following: automatically generate test cases and data artefactsbased on production events data captured from pre-production environmentof a continuous integration continuous delivery pipeline.

BRIEF DESCRIPTION OF THE DRAWINGS

The present disclosure is further described in the detailed descriptionwhich follows, in reference to the noted plurality of drawings, by wayof non-limiting examples of preferred embodiments of the presentdisclosure, in which like characters represent like elements throughoutthe several views of the drawings.

FIG. 1 illustrates a computer system automatically generating fullyintegrated regression and system testing (FIRST) analytics in accordancewith an exemplary embodiment.

FIG. 2 illustrates an exemplary diagram of a network environment with adata analytics and test automation device in accordance with anexemplary embodiment.

FIG. 3 illustrates a system diagram for implementing a data analyticsand test automation device with a data analytics and test automationmodule in accordance with an exemplary embodiment.

FIG. 4 illustrates a system diagram for implementing a data analyticsand test automation module of FIG. 3 in accordance with an exemplaryembodiment.

FIG. 5 illustrates a flow diagram for automatically generating fullyintegrated regression and system testing (FIRST) analytics in accordancewith an exemplary embodiment.

DETAILED DESCRIPTION

Through one or more of its various aspects, embodiments and/or specificfeatures or sub-components of the present disclosure, are intended tobring out one or more of the advantages as specifically described aboveand noted below.

The examples may also be embodied as one or more non-transitory computerreadable media having instructions stored thereon for one or moreaspects of the present technology as described and illustrated by way ofthe examples herein. The instructions in some examples includeexecutable code that, when executed by one or more processors, cause theprocessors to carry out steps necessary to implement the methods of theexamples of this technology that are described and illustrated herein.

As is traditional in the field of the present disclosure, exampleembodiments are described, and illustrated in the drawings, in terms offunctional blocks, engines, units and/or modules. Those skilled in theart will appreciate that these blocks, engines, units and/or modules arephysically implemented by electronic (or optical) circuits such as logiccircuits, discrete components, microprocessors, hard-wired circuits,memory elements, wiring connections, and the like, which may be formedusing semiconductor-based fabrication techniques or other manufacturingtechnologies. In the case of the blocks, engines, units and/or modulesbeing implemented by microprocessors or similar, they may be programmedusing software (e.g., microcode) to perform various functions discussedherein and may optionally be driven by firmware and/or software.Alternatively, each block, engine, unit and/or module may be implementedby dedicated hardware, or as a combination of dedicated hardware toperform some functions and a processor (e.g., one or more programmedmicroprocessors and associated circuitry) to perform other functions.Also, each block, engine, unit and/or module of the example embodimentsmay be physically separated into two or more interacting and discreteblocks, engines, units and/or modules without departing from the scopeof the inventive concepts. Further, the blocks, engines, units and/ormodules of the example embodiments may be physically combined into morecomplex blocks, engines, units and/or modules without departing from thescope of the present disclosure.

FIG. 1 is an exemplary system 100 for use in implementing a dataanalytics and test automation module for automatically generating fullyintegrated regression and system testing (FIRST) analytics in accordancewith the embodiments described herein. The system 100 is generally shownand may include a computer system 102, which is generally indicated.

The computer system 102 may include a set of instructions that can beexecuted to cause the computer system 102 to perform any one or more ofthe methods or computer-based functions disclosed herein, either aloneor in combination with the other described devices. The computer system102 may operate as a standalone device or may be connected to othersystems or peripheral devices. For example, the computer system 102 mayinclude, or be included within, any one or more computers, servers,systems, communication networks or cloud environment. Even further, theinstructions may be operative in such cloud-based computing environment.

In a networked deployment, the computer system 102 may operate in thecapacity of a server or as a client user computer in a server-clientuser network environment, a client user computer in a cloud computingenvironment, or as a peer computer system in a peer-to-peer (ordistributed) network environment. The computer system 102, or portionsthereof, may be implemented as, or incorporated into, various devices,such as a personal computer, a tablet computer, a set-top box, apersonal digital assistant, a mobile device, a palmtop computer, alaptop computer, a desktop computer, a communications device, a wirelesssmart phone, a personal trusted device, a wearable device, a globalpositioning satellite (GPS) device, a web appliance, or any othermachine capable of executing a set of instructions (sequential orotherwise) that specify actions to be taken by that machine. Further,while a single computer system 102 is illustrated, additionalembodiments may include any collection of systems or sub-systems thatindividually or jointly execute instructions or perform functions. Theterm shall be taken throughout the present disclosure to include anycollection of systems or sub-systems that individually or jointlyexecute a set, or multiple sets, of instructions to perform o or morecomputer functions.

As illustrated in FIG. 1, the computer system 102 may include at leastone processor 104. The processor 104 is tangible and non-transitory. Asused herein, the term “non-transitory” is to be interpreted not as aneternal characteristic of a state, but as a characteristic of a statethat will last for a period of time. The term “non-transitory”specifically disavows fleeting characteristics such as characteristicsof a particular carrier wave or signal or other forms that exist onlytransitorily in any place at any time. The processor 104 is an articleof manufacture and/or a machine component. The processor 104 isconfigured to execute software instructions in order to performfunctions as described in the various embodiments herein. The processor104 may be a general-purpose processor or may be part of an applicationspecific integrated circuit (ASIC). The processor 104 may also be amicroprocessor, a microcomputer, a processor chip, a controller, amicrocontroller, a digital signal processor (DSP), a state machine, or aprogrammable logic device. The processor 104 may also be a logicalcircuit, including a programmable gate array (PGA) such as a fieldprogrammable gate array (FPGA), or another type of circuit that includesdiscrete gate and/or transistor logic. The processor 104 may be acentral processing unit (CPU), a graphics processing unit (CPU), orboth. Additionally, any processor described herein may include multipleprocessors, parallel processors, or both. Multiple processors may beincluded in, or coupled to, a single device or multiple devices.

The computer system 102 may also include a computer memory 106. Thecomputer 106 may include a static memory, a dynamic memory, or both incommunication. Memories described herein are tangible storage mediumsthat can store data and executable instructions, and are non-transitoryduring the time instructions are stored therein. Again, as used herein,the term “non-transitory” is to be interpreted not as an eternalcharacteristic of a state, but as a characteristic of a state that willlast for a period of time. The term “non-transitory” specificallydisavows fleeting characteristics such as characteristics of aparticular carrier wave or signal or other forms that exist onlytransitorily in any place at any time. The memories are an article ofmanufacture and/or machine component. Memories described herein arecomputer-readable mediums from which data and executable instructionscan be read by a computer. Memories as described herein may be randomaccess memory (RAM), read only memory (ROM), flash memory, electricallyprogrammable read only memory (EPROM), electrically erasableprogrammable read-only memory (EEPROM), registers, a hard disk, a cache,a removable disk, tape, compact disk read only memory (CD-ROM), digitalversatile disk (DVD), floppy disk, blu-ray disk, or any other form ofstorage medium known in the art. Memories may be volatile ornon-volatile, secure and/or encrypted, unsecured and/or unencrypted. Ofcourse, the computer memory 106 may comprise any combination of memoriesor a single storage.

The computer system 102 may further include a display 108, such as aliquid crystal display (LCD), an organic light emitting diode (OLED), aflat panel display, a solid-state display, a cathode ray tube (CRT), aplasma display, or any other known display.

The computer system 102 may also include at least one input device 110,such as a keyboard, a touch-sensitive input screen or pad, a speechinput, a mouse, a remote control device having a wireless keypad, amicrophone coupled to a speech recognition engine, a camera such as avideo camera or still camera, a cursor control device, a globalpositioning system (GPS) device, an altimeter, a gyroscope, anaccelerometer, a proximity sensor, or any combination thereof. Thoseskilled in the art appreciate that various embodiments of the computersystem 102 may include multiple input devices 110. Moreover, thoseskilled in the art further appreciate that the above-listed, exemplaryinput devices 110 are not meant to be exhaustive and that the computersystem 102 may include any additional, or alternative, input devices110.

The computer system 102 may also include a medium reader 112 which isconfigured to read any one or more sets of instructions, e.g., software,from any of the memories described herein. The instructions, whenexecuted by a processor, can be used to perform one or more of themethods and processes as described herein. In a particular embodiment,the instructions may reside completely; or at least partially, withinthe memory 106, the medium reader 112, and/or the processor 110 duringexecution by the computer system 102.

Furthermore, the computer system 102 may include any additional devices,components, parts, peripherals, hardware, software or any combinationthereof which are commonly known and understood as being included withor within a computer system, such as, but not limited to, a networkinterface 114 and an output device 116. The output device 116 may be,but is not limited to, a speaker, an audio out, a video out, a remotecontrol output, a printer, or any combination thereof.

Each of the components of the computer system 102 may be interconnectedand communicate via a bus 118 or other communication link. As shown inFIG. 1, the components may each be interconnected and communicate via aninternal bus. However, those skilled in the art appreciate that any ofthe components may also be connected via an expansion bus. Moreover, thebus 118 may enable communication any standard or other specificationcommonly known and understood such as, but not limited to, peripheralcomponent interconnect, peripheral component interconnect express,parallel advanced technology attachment, serial advanced technologyattachment, etc.

The computer system 102 may be in communication with one or moreadditional computer devices 120 via a network 122. The network 122 maybe, but limited to, a local area network, a wide area network, theInternet, a telephony network, a short-range network, or any othernetwork commonly known and understood in the art. The short-rangenetwork may include, for example, Bluetooth, Zigbee, infrared, nearfield communication, ultraband, or any combination thereof. Thoseskilled in the art appreciate that additional networks 122 which areknown and understood may additionally or alternatively be used and thatthe exemplary networks 122 are not limiting or exhaustive. Also, whilethe network 122 is shown in FIG. 1 as a wireless network, those skilledin the art appreciate that the network 122 may also be a wired network.

The additional computer device 120 is shown in FIG. 1 as a personalcomputer. However, those skilled in the art appreciate that, inalternative embodiments of the present application, the computer device120 may be a laptop computer, a tablet PC, a personal digital assistant,a mobile device, a palmtop computer, a desktop computer, acommunications device, a wireless telephone, a personal trusted device,a web appliance, a server, or any other device that is capable ofexecuting a set of instructions, sequential or otherwise, that specifyactions to be taken by that device. Of course, those skilled in the artappreciate that the above-listed devices are merely exemplary devicesand that the device 120 may be any additional device or apparatuscommonly known and understood in the art without departing from thescope of the present application. For example, the computer device 120may be the same or similar to the computer system 102. Furthermore,those skilled in the art similarly understand that the device may be anycombination of devices and apparatuses.

Of course, those skilled in the art appreciate that the above-listedcomponents of the computer system 102 are merely meant to be exemplaryand are not intended to be exhaustive and/or inclusive. Furthermore, theexamples of the components listed above are also meant to be exemplaryand similarly are not meant to be exhaustive and/or inclusive.

In accordance with various embodiments of the present disclosure, themethods described herein may be implemented using a hardware computersystem that executes software programs. Further, in an exemplary,non-limited embodiment, implementations can include distributedprocessing, component/object distributed processing, and an operationmode having parallel processing capabilities. Virtual computer systemprocessing can be constructed to implement one or more of the methods orfunctionality as described herein, and a processor described herein maybe used to support a virtual processing environment.

As described herein, various embodiments provide optimized processes ofimplementing a data analytics and test automation module that provides aunified test automation framework thereby reducing the need for multipletools to support applications developed in diverse technology platforms;supports end to end UAT (User Acceptance Testing), regression andnon-functional testing, requirements and test coverage analysis (alsoreferred as fingerprinting); facilitate fully automated test casescreation and data artefacts generation based on production eventscaptured from pre-production environment, and thereby significantlyreducing STLC duration, but the disclosure is not limited thereto. Forexample, as described herein, various embodiments provide optimizedprocesses of implementing a data analytics and test automation modulethat utilizes data analytics (fingerprint) on historical production datato identify unique set of inputs for constructing test cases; alignsfingerprinted tests with a test automation framework; and utilizes thisapproach on a continuous basis to keep the test cases optimized, andmaintains test coverage at par with production with minimal efforts(i.e., core part of FIRST analytics is re-usable across businessdomains), but the disclosure is not limited thereto.

Referring to FIG. 2, a schematic of an exemplary network environment 200for implementing a data analytics and test automation (DATAD) of theinstant disclosure is illustrated.

According to exemplary embodiments, the above-described problemsassociated with conventional method and systems may be overcome byimplementing an DATAD 202 as illustrated in FIG. 2 by implementing adata analytics and test automation module that provides a unified testautomation framework thereby reducing the need for multiple tools tosupport applications developed in diverse technology platforms; supportsend to end UAT (User Acceptance Testing), regression and non-functionaltesting, requirements and test coverage analysis also referred asfingerprinting); facilitates fully automated test cases creation anddata artefacts generation based on production events captured frompre-production environment, and thereby significantly reducing STLCduration, but the disclosure is not limited thereto.

The DATAD 202 pray be the same or similar to the computer system 102 asdescribed with respect to FIG. 1.

The DATAD 202 may store one or more applications that can includeexecutable instructions that, when executed by the DATAD 202, cause theDATAD 202 to perform actions, such as to transmit, receive, or otherwiseprocess network messages, for example, and to perform other actionsdescribed and illustrated below with reference to the figures. Theapplication(s) may be implemented as modules or components of otherapplications. Further, the application(s) can be implemented asoperating system extensions, modules, plugins, or the like.

Even further, the application(s) may be operative in a cloud-basedcomputing environment. The application(s) may be executed within or asvirtual machine(s) or virtual server(s) that may be managed in acloud-based computing environment. Also, the application(s), and eventhe DATAD 202 itself, may be located in virtual server(s) running in acloud-based computing environment rather than being tied to one or morespecific physical network computing devices. Also, the application(s)may be running in one or more virtual machines (VMs) executing on theDATAD 202. Additionally, in one or more embodiments of this technology,virtual machine(s) running on the DATAD 202 may be managed or supervisedby a hypervisor.

In the network environment 200 of FIG. 2, the DATAD 202 is coupled to aplurality of server devices 204(1)-204(n) that hosts a plurality ofdatabases 206(1)-206(n), and also to a plurality of client devices208(1)-208(n) via communication network(s) 210. A communicationinterface of the DATAD 202, such as the network interface 114 of thecomputer system 102 of FIG. 1, operatively couples and communicatesbetween the DATAD 202, the server devices 204(1)-204(n), and/or theclient devices 208(1)-208(n), which are all coupled together by thecommunication networks) 210, although other types and/or numbers ofcommunication networks or systems with other types and/or numbers ofconnections and/or configurations to other devices and/or elements mayalso be used.

The communication network(s) 210 may be the same or similar to thenetwork 122 as described with respect to FIG. 1, although the DATAD 202,the server devices 204(1)-204(n), and/or the client devices208(1)-208(n) pray be coupled together via other topologies.Additionally, the network environment 200 may include other networkdevices such as one or more routers and/or switches, for example, whichare well known in the art and thus will not be described herein.

By way of example only, the communication network(s) 210 may includelocal area networks) (LAN(s)) or wide area network(s) (WAN(s)), and canuse TCP/IP over Ethernet and industry-standard protocols, although othertypes and/or numbers of protocols and/or communication networks may beused. The communication network(s) 202 in this example may employ anysuitable interface mechanisms and network communication technologiesincluding, for example, teletraffic in any suitable form (e.g., voice,modem, and the like), Public Switched Telephone Network (PSTNs),Ethernet-based Packet Data Networks (PDNs), combinations thereof, andthe like.

The DATAD 202 may be a standalone device or integrated with one or otherdevices or apparatuses, such as one or more of the server devices204(1)-204(n), for example. In one particular example, the DATAD 202 maybe hosted by one of the server devices 204(1)-204(n), and otherarrangements are also possible. Moreover, one or more of the devices ofthe DATAD 202 may be in a same or a different communication networkincluding one or more public, private, or cloud networks, for example.

The plurality of server devices 204(1)-204(n) may be the same or similarto the computer system 102 or the computer device 120 as described withrespect to FIG. 1, including any features or combination of featuresdescribed with respect thereto. For example, any of the server devices204(1)-204(n) may include, among other features, one or more processors,a memory, and a communication interface, which are coupled together by abus or other communication link, although other numbers and/or types ofnetwork devices may be used. The server devices 204(1)-204(n)in thisexample may process requests received from the DATAD 202 via thecommunication network(s) 210 according to the HTTP-based and/orJavaScript Object Notation (JSON) protocol, for example, although otherprotocols may also be used.

The server devices 204(1)-204(n) may be hardware or software or mayrepresent a system with multiple servers in a pool, which may includeinternal or external networks. The server devices 204(1)-204(n) hoststhe databases 206(1)-206(n) that are configured to store metadata sets,data quality rules, and newly generated data.

Although the server devices 204(1)-204(n) are illustrated as singledevices, one or more actions of each of the server devices 204(1)-204(n)may be distributed across one or more distinct network computing devicesthat together comprise one or more of the server devices 204(1)-204(n).Moreover, the server devices 204(1)-204(n) are not limited to aparticular configuration. Thus, the server devices 204(1)-204(n) maycontain a plurality of network comp sting devices that operate using amaster/slave approach, whereby one of the network computing devices ofthe server devices 204(1)-204(n) operates to manage and/or otherwisecoordinate operations of the other network computing devices.

The server devices 204(1)-204(n) may operate as a plurality of networkcomputing devices within a cluster architecture, a peer-to peerarchitecture, virtual machines, or within a cloud architecture, forexample. Thus, the technology disclosed herein is not to be construed asbeing limited to a single environment and other configurations andarchitectures are also envisaged.

The plurality of client devices 208(1)-208(n) may also be the same orsimilar to the computer system 102 or the computer device 120 asdescribed with respect to FIG. 1, including any features or combinationof features described with respect thereto. Client device in thiscontext refers to any computing device that interfaces to communicationsnetwork(s) 210 to obtain resources from one or more server devices204(1)-204(n) or other client devices 208(1)-208(n).

According to exemplary embodiments, the client devices 208(1)-208(n) inthis example may include any type of computing device that canfacilitate the implementation of the DATAD 202 that may be configuredfor implementing a data analytics and test automation module thatprovides a unified test automation framework thereby reducing the needfor multiple tools to support applications developed in diversetechnology platforms; supports end to end UAT (User Acceptance Testing),regression and non-functional testing, requirements and test coverageanalysis (also referred as fingerprinting); facilitates fully automatedtest cases creation and data artefacts generation based on productionevents captured from pre-production environment, and therebysignificantly reducing STLC duration but the disclosure is not limitedthereto.

Accordingly, the client devices 208(1)-208(n) may be mobile computingdevices, desktop computing devices, laptop computing devices, tabletcomputing devices, virtual machines (including cloud-based computers),or the like, that host chat, e-mail, or voice-to-text applications, ofother document collaborative software for example.

The client devices 208(1)-208(n) may be interface applications, such asstandard web browsers or standalone client applications, which mayprovide an interface to communicate with the DATAD 202 via thecommunication network(s) 210 in order to communicate user requests. Theclient devices 208(1)-208(n) may further include, among other features,a display device, such as a display screen or to touchscreen, and/or aninput device, such as a keyboard, for example.

Although the exemplary network environment 200 with the DATAD 202, theserver devices 204(1)-204(n), the client devices 208(1)-208(n), and thecommunication network(s) 210 are described and illustrated herein, othertypes and/or numbers of systems, devices, components, and/or elements inother topologies may be used. It is to be understood that the systems ofthe examples described herein are for exemplary purposes, as manyvariations of the specific hardware and software used to implement theexamples are possible, as will be appreciated by those skilled in therelevant art(s).

One or more of the devices depicted in the network environment 200, suchas the DATAD 202, the server devices 204(1)-204(n), or the clientdevices 208(1)-208(n), for example, may be configured to operate asvirtual instances on the same physical machine. For example, one or moreof the DATAD 202, the server devices 204(1)-204(n), or the clientdevices 208(1)-208(n) may operate on the same physical device ratherthan as separate devices communicating through communication network(s)210. Additionally, there may be more or fewer DATADs 202, server devices204(1)-204(n), or client devices 208(1)-208(n) than illustrated in FIG.2.

In addition, two or more computing systems or devices may be substitutedfor any one of the systems or devices in any example. Accordingly,principles and advantages of distributed processing, such as redundancyand replication also may be implemented, as desired, to increase therobustness and performance of the devices and systems of the examples.The examples may also be implemented on computer system(s) that extendacross any suitable network using any suitable interface mechanisms andtraffic technologies, including by way of example only teletraffic inany suitable form (e.g., voice and modem), wireless traffic networks,cellular traffic networks, Packet Data Networks (PDNs), the Internet,intranets, and combinations thereof.

FIG. 3 illustrates a system diagram for implementing a DATAD 302 with adata analytics and test automation module (DATAM) 306 in accordance withan exemplary embodiment.

As illustrated in FIG. 3, the DATAD 302 including the DATAM 306 may beconnected to a server 304, a production database 312(1), and a UATdatabase 312(2) via a communication network 310. The DATAD 302 may alsobe connected to a plurality of client devices 308(1)-308(n) via thecommunication network 310, but the disclosure is not limited thereto.According to exemplary embodiments, the DATAM 306 may be implementedwithin the client devices 308(1)-308(n), but the disclosure is notlimited thereto. According to exemplary embodiments, the client devices308(1)-308(n) may be utilized for FIRST analytics and automatic testing,but the disclosure is not limited thereto.

According to exemplary embodiment, the DATAD 302 is described and shownin FIG. 3 as including the DATAM 306, although it may include otherrules, policies, modules, databases, or applications, for example.According to exemplary embodiments, the production database 312(1) andthe UAT database 312(2) may be embedded within the DATAD 302. Althoughonly one production database 312(1) and one UAT database 312(2) areillustrated in FIG. 3, according to exemplary embodiments, a pluralityof databases may be provided. According to exemplary embodiments, theproduction database 312(1) may include one or more memories configuredto store production data associated with an application and the UATdatabase 312(2) may include one or more memories configured to store UATdata associated with the application, but the disclosure is not limitedthereto. According to exemplary embodiments, other databases, not shownmay include one or memories to store login information, data files, datacontent, API specification definition file, user profile data, userprofile attributes data, attribute definitions of users, etc., but thedisclosure is not limited thereto. According to exemplary embodiments,the DATAM 306 may be configured to be storage platformagnostic—configured to be deployed across multiple storage layers.

According to exemplary embodiments, the DATAM 306 may be configured toreceive continuous feed of data from the production database 312(1) andthe UAT database 312(2) and the server 304 via the communication network310.

According to exemplary embodiments, the DATAM 306 may be configured toreceive continuous feed of data from the production database 312(1), UATdatabase 312(2) and the server 304 via the communication network 310.According to exemplary embodiments, the production database 312(1) andthe UAT database 312(2) may also be a private cloud-based database thatsupports user authentication, database security, and integration withexisting databases and developments as well as stores open APIspecification definition file (JSON format) corresponding to anapplication, but the disclosure is not limited thereto.

As will be described below, the DATAM 306 may be configured to: accessthe production database 312(1) to obtain production data associated withan application; access the UAT database 312(2) to obtain UAT dataassociated with the application; generate gap data on test coveragebased on comparing the production data with the UAT data; analyze thegenerated gap data; automatically generate, in response to analyzing thegenerated gap data, executable full coverage of test scenarios fortesting the application; and automatically execute testing of theapplication based on the generated test scenarios, but the disclosure isnot limited thereto.

The plurality of client devices 308(1)-308(n) are illustrated as beingin communication with the DATAD 302. In this regard, the plurality ofclient devices 308(1)-308(n) may be “clients” of the DATAD 302 and aredescribed herein as such. Nevertheless, it is to be known and understoodthat the plurality of client devices 308(1)-308(n) need not necessarilybe “clients” of the DATAD 302, or any entity described in associationtherewith herein. Any additional or alternative relationship may existbetween either or more of the plurality of client devices 308(1)-308(n)and the DATAD 302, or no relationship may exist.

One of the plurality of client devices 308(1)-308(n) may be, forexample, a smart phone or a personal computer. Of course, the pluralityof client devices 308(1)-308(n) may be any additional device describedherein. According to exemplary embodiments, the server 304 may be thesame or equivalent to the server device 204 as illustrated in FIG. 2.

The process may be executed via the communication network 310, which maycomprise plural networks as described above. For example, in anexemplary embodiment, either one or more of the plurality of clientdevices 308(1)-308(n) may communicate with the DATAD 302 via broadbandor cellular communication. Of course, these embodiments are merelyexemplary and are not limiting or exhaustive.

FIG. 4 illustrates a system diagram for implementing a DATAM of FIG. 3in accordance with an exemplary embodiment.

As illustrated in FIG. 4, the system 400 may include a DATAD 402 withinwhich a DATAM 406 may be embedded, a production database 412(1), a UATdatabase 412(2), a server 404, client devices 408(1)-408(n), and acommunication network 410. According to exemplary embodiments, the DATAD402, DATAM 406, production database 412(1) and the UAT database 412(2),the server 404, the client devices 408(1)-408(n), and the communicationnetwork 410 as illustrated in FIG. 4 may be the same or similar to theDATAD 302, the DATAM 306, the production database 312(1) and the UATdatabase 312(2), the server 304, the client devices 308(1)-308(n), andthe communication network 310, respectively, as illustrated in FIG. 3.

According to exemplary embodiments, although only one productiondatabase 412(1) and one UAT database 412(2) are illustrated in FIG. 4,according to exemplary embodiments, a plurality of other databases maybe provided. According to exemplary embodiments, the production database412(1) may include one or more memories configured to store productiondata associated with an application and the UAT database 412(2) mayinclude one or more memories configured to store UAT data associatedwith the application, but the disclosure is not limited thereto.According to exemplary embodiments, other databases, not shown, mayinclude one or memories to store login information, data files, datacontent, API specification definition file, user profile data, userprofile attributes data, attribute definitions of users, etc., but thedisclosure is not limited thereto.

According to exemplary embodiments, the DATAM 406 may be configured bestorage platform agnostic—configured to be deployed across multiplestorage layers.

As illustrated in FIG. 4, the DATAM 406 may include an accessing module414, a generating module 416, an analyzing module 418, an executingmodule 420, an implementing module 422, an aligning module 424, adisplay module 426, a communication module 428, and a GUI 430.

According to exemplary embodiments, the production database 412(1) andthe UAT database 412(2) may be external to the DATAD 402 may includevarious systems that are managed and operated by an organization.Alternatively, according to exemplary embodiments, the productiondatabase 412(1) and the UAT database 412(2) may be embedded within theDATAD 402 and/or within the DATAM 406.

According to exemplary embodiments, the DATAM 406 may be implemented viauser interfaces, e.g., web user interface, but the disclosure is notlimited thereto, and may be integrated with a private cloud platform anda distributed file system platform via the DATAM 406 and anauthentication service, but the disclosure is not limited thereto.

The process may be executed via the communication module 428 and thecommunication network 410, which may comprise plural networks asdescribed above. For example, in an exemplary embodiment, the variouscomponents of the DATAM 406 may communicate with the server 404, theproduction database 412(1) and the UAT database 412(2) via thecommunication module 428 and the communication network 410. Of course,these embodiments are merely exemplary and are not limiting orexhaustive.

According to exemplary embodiments, the communication network 410 andthe communication module 428 may be configured to establish a linkbetween the production database 412(1), the UAT database 412(2), theclient devices 408(1)-408(n) and the DATAM 406.

According to exemplary embodiments, each of the accessing module 414,generating module 416, analyzing module 418, executing module 420,implementing module 422, aligning module 424, display module 426, andthe communication module 428 may be implemented by microprocessors orsimilar, they may be programmed using software (e.g., microcode) toperform various functions discussed herein and may optionally be drivenby firmware and/or software. Alternatively, each of the accessing module414, generating module 416, analyzing module 418, executing module 420,implementing module 422, aligning module 424, display module 426, andthe communication module 428 may be implemented by dedicated hardware,or as a combination of dedicated hardware to perform some functions anda processor (e.g., one or more programmed microprocessors and associatedcircuitry) to perform other functions. Also, according to exemplaryembodiments, each of the accessing module 414, generating module 416,analyzing module 418, executing module 420, implementing module 422,aligning module 424, display module 426, and the communication module428 may be physically separated into two or more interacting anddiscrete blocks, units, devices, and/or modules without departing fromthe scope of the inventive concepts.

According to exemplary embodiments, each of the accessing module 414,generating module 416, analyzing module 418, executing module 420,implementing module 422, aligning module 424, display module 426, andthe communication module 428 of the DATAM 406 may also be called bycorresponding API, but the disclosure is not limited thereto.

According to exemplary embodiments, the accessing module 414 may beconfigured to access the production database 412(1) to obtain productiondata associated with an application and access the UAT database 412(2)to obtain UAT data associated with the application.

According to exemplary embodiments, the generating module 416 may beconfigured to generate gap data on test coverage based on comparing theproduction data with the UAT data.

According to exemplary embodiments, the analyzing module 418 may beconfigured to analyze the generated gap data. The generating module 416may be configured to automatically generate, in response to analyzingthe generated gap data by the analyzing module 418, executable fullcoverage of test scenarios for testing the application.

According to exemplary embodiments, the executing module 420 may beconfigured to automatically execute testing of the application based onthe generated test scenarios.

According to exemplary embodiments, the implementing module 422 may beconfigured to implement data analytics algorithm on historicalproduction data to identify unique set of input data, received from aclient device, that represents a consumer's point of view forutilization of the application, for automatically generating the fullcoverage of test scenarios.

According to exemplary embodiments, the implementing module 422 may befurther configured to implement the data analytics algorithm on thehistorical production data to identify unique set of input data; andimplement the identified unique set of input data for re-platforming,migrating, and regression testing of the application.

According to exemplary embodiments, the aligning module 424 may beconfigured to align the full coverage of test scenarios with a testautomation framework. The executing module 420 may be configured toautomatically execute end-to-end UAT and regression testing of theapplication based on the test scenarios.

According to exemplary embodiments, the production data may be definedand collected in view of input data, received from a client device(i.e., 408(1)-408(n)), the input data representing a consumer's point ofview for utilization of the application.

According to exemplary embodiments, the implementing module 422 may befurther configured to implement a GUI 430; and the display module 426may be configured to display the generated test scenarios and thegenerated gap data in test coverage onto the GUI 430.

According to exemplary embodiments, the generating module 416 may befurther configured to automatically generate test cases and dataartefacts based on production events data captured from pre-productionenvironment of a continuous integration continuous delivery pipeline.

FIG. 5 illustrates a flow diagram of a process 500 for automaticallygenerating fully integrated regression and system testing (FIRST)analytics in accordance with an exemplary embodiment.

As illustrated in FIG. 5, at step S502, the process 500 may access aproduction database to obtain production data associated with anapplication.

At step S504, the process 500 may access a user acceptance testing (UAT)database to obtain UAT data associated with the application.

At step S506, the process 500 may generate gap data on test coveragebased on comparing the production data with the UAT data.

At step S508, the process 500 may analyze the generated gap data.

At step S510, the process 500 may automatically generate, in response toanalyzing the generated gap data, executable full coverage of testscenarios for testing the application.

At step S512, the process 500 may automatically execute testing of theapplication based on the generated test scenarios.

According to exemplary embodiments, the process 500 may further include:implementing data analytics algorithm on historical production data toidentify unique set of input data, received from a client device, thatrepresents a consumer's point of view for utilization of theapplication, for automatically generating the full coverage of testscenarios.

According to exemplary embodiments, the process 500 may further include:implementing the data analytics algorithm on the historical productiondata to identify unique set of input data; and implementing theidentified unique set of input data for re-platforming, migrating, andregression testing of the application.

According to exemplary embodiments, the process 500 may further include:aligning the full coverage of test scenarios with a test automationframework; and automatically executing end-to-end UAT and regressiontesting of the application based on the test scenarios.

According to exemplary embodiments, the process 500 may further include:aligning the full coverage of test scenarios with a test automationframework; and automatically executing end-to-end non-functional testingof the application based on the test scenarios.

According to exemplary embodiments, the process 500 may further include:implementing a GUI; and displaying the generated test scenarios and thegenerated gap data in test coverage onto the GUI.

According to exemplary embodiments, the process 500 may further include:automatically generating test cases and data artefacts based onproduction events data captured from pre-production environment of acontinuous integration continuous delivery pipeline.

According to exemplary embodiments, the DATAD 402 may include a memory(e.g., a memory 106 as illustrated in FIG. 1) which may be anon-transitory computer readable medium that may be configured to storeinstructions for implementing the DATAM 406 for automatically generatingfully integrated regression and system testing (FIRST) analytics asdisclosed herein. The DATAD 402 may also include a medium reader (e.g.,a medium reader 112 as illustrated in FIG. 1) which may be configured toread any one or more sets of instructions, e.g., software, from any ofthe memories described herein. The instructions, when executed by aprocessor embedded within the DATAM 406 or within the DATAD 402, may beused to perform one or more of the methods and processes as describedherein. In a particular embodiment, the instructions may residecompletely, or at least partially, within the memory 106, the mediumreader 112, and/or the processor 104 (see FIG. 1) during execution bythe DATAD 402.

For example, the instructions, when executed, may cause the processor104 to perform the following: accessing a production database to obtainproduction data associated with an application; accessing a useracceptance testing (UAT) database to obtain UAT data associated with theapplication; generating gap data on test coverage based on comparing theproduction data with the UAT data; analyzing the generated gap dataautomatically generating, in response to analyzing the generated gapdata, executable full coverage of test scenarios for testing theapplication; and automatically executing testing of the applicationbased on the generated test scenarios, but the disclosure is not limitedthereto.

According to exemplary embodiments, the instructions, when executed, mayfurther cause the processor 104 to perform the following: implementingdata analytics algorithm on historical production data to identifyunique set of input data, received from a client device, that representsa consumer's point of view for utilization of the application, forautomatically generating the full coverage of test scenarios.

According to exemplary embodiments, the instructions, when executed, mayfurther cause the processor 104 to perform the following: implementingthe data analytics algorithm on the historical production data toidentify unique set of input data; and implementing the identifiedunique set of input data for re-platforming, migrating, and regressiontesting of the application.

According to exemplary embodiments, the instructions, when executed, mayfurther cause the processor 104 to perform the following: aligning thefull coverage of test scenarios with a test automation framework; andautomatically executing end-to-end UAT and regression testing of theapplication based on the test scenarios.

According to exemplary embodiments, the instructions, when executed, mayfurther cause the processor 104 to perform the following: aligning thefull coverage of test scenarios with a test automation framework; andautomatically executing end-to-end non-functional testing of theapplication based on the test scenarios.

According to exemplary embodiments, the instructions, when executed, mayfurther cause the processor 104 to perform the following: implementing aGUI; and displaying the generated test scenarios and the generated gapdata in test coverage onto the GUI.

According to exemplary embodiments, the instructions, when executed, mayfurther cause the processor 104 to perform the following: automaticallygenerating test cases and data artefacts based on production events datacaptured from pre-production environment of a continuous integrationcontinuous delivery pipeline.

According to exemplary embodiments as disclosed above in FIGS. 1-5,technical improvements effected by the instant disclosure may includeplatforms for implementing a data analytics and test automation modulethat provides a unified test automation framework thereby reducing theneed for multiple tools to support applications developed in diversetechnology platforms; supports end to end UAT (User Acceptance Testing),regression and non-functional testing, requirements and test coverageanalysis (also referred as fingerprinting); facilitates fully automatedtest cases creation and data artefacts generation based on productionevents captured from pre-production environment, and therebysignificantly reducing STLC duration, but the disclosure is not limitedthereto. For example, according to exemplary embodiments as disclosedabove in FIGS. 1-5, technical improvements effected by the instantdisclosure may also include platforms for implementing a data analyticsand test automation module that utilizes data analytics (fingerprint) onhistorical production data to identify unique set of inputs forconstructing test cases; aligns fingerprinted tests a test automationframework; and utilizes this approach on a continuous basis to keep thetest cases optimized, and maintains test coverage at par with productionwith minimal efforts (i.e., core part of FIRST analytics is re-usableacross business domains), but the disclosure is not limited thereto.

Although the invention has been described with reference to severalexemplary embodiments, it is understood that the words that have beenused are words of description and illustration, rather than words oflimitation. Changes may be made within the purview of the appendedclaims, as presently stated and as amended, without departing from thescope and spirit of the present disclosure in its aspects. Although theinvention has been described with reference to particular means,materials and embodiments, the invention is not intended to be limitedto the particulars disclosed; rather the invention extends to allfunctionally equivalent structures, methods, and uses such as are withinthe scope of the appended claims.

For example, while the computer-readable medium may be described as asingle medium, the term “computer-readable medium” includes a singlemedium or multiple media, such as a centralized or distributed database,and/or associated caches and servers that store one or more sets ofinstructions. The term “computer-readable medium” shall also include anymedium that is capable of storing, encoding or carrying a set ofinstructions for execution by a processor or that cause a computersystem to perform any one or more of the embodiments disclosed herein.

The computer-readable medium may comprise a non-transitorycomputer-readable medium or media and/or comprise a transitorycomputer-readable medium media. In a particular non-limiting, exemplaryembodiment, the computer-readable medium can include a solid-statememory such as a memory card or other package that houses one or morenon-volatile read-only memories. Further, the computer-readable mediumcan be a random access memory or other volatile re-writable memory.Additionally, the computer-readable medium can include a magneto-opticalor optical medium, such as a disk or tapes or other storage device tocapture carrier wave signals such as a signal communicated over atransmission medium. Accordingly, the disclosure is considered toinclude any computer-readable medium or other equivalents and successormedia, in which data or instructions may be stored.

Although the present application describes specific embodiments whichmay be implemented as computer programs or code segments incomputer-readable media, it is to be understood that dedicated hardwareimplementations, such as application specific integrated circuits,programmable logic arrays and other hardware devices, can be constructedto implement one or more of the embodiments described herein.Applications that may include the various embodiments set forth hereinmay broadly include a variety of electronic and computer systems.Accordingly, the present application may encompass software, firmware,and hardware implementations, or combinations thereof. Nothing in thepresent application should be interpreted as being implemented orimplementable solely with software and not hardware.

Although the present specification describes components and functionsthat may be implemented in particular embodiments with reference toparticular standards and protocols, the disclosure is not limited tosuch standards and protocols. Such standards are periodically supersededby faster or more efficient equivalents having essentially the samefunctions. Accordingly, replacement standards and protocols having thesame or similar functions are considered equivalents thereof.

The illustrations of the embodiments described herein are intended toprovide a general understanding of the various embodiments. Theillustrations are not intended to serve as a complete description of allof the elements and features of apparatus and systems that utilize thestructures or methods described herein. Many other embodiments may beapparent to those of skill in the art upon reviewing the disclosure.Other embodiments may be utilized and derived from the disclosure, suchthat structural and logical substitutions and changes may be madewithout departing from the scope of the disclosure. Additionally; theillustrations are merely representational and may not be drawn to scale.Certain proportions within the illustrations may be exaggerated, whileother proportions may be minimized. Accordingly, the disclosure and thefigures are to be regarded as illustrative rather than restrictive.

One or more embodiments of the disclosure may be referred to herein,individually and/or collectively, by the term “invention” merely forconvenience and without intending to voluntarily limit the scope of thisapplication to any particular invention or inventive concept. Moreover,although specific embodiments have been illustrated and describedherein, it should be appreciated that any subsequent arrangementdesigned to achieve the same or similar purpose may be substituted forthe specific embodiments shown. This disclosure is intended to cover anyand all subsequent adaptations or variations of various embodiments.Combinations of the above embodiments, and other embodiments notspecifically described herein, will be apparent to those of skill in theart upon reviewing the description.

The Abstract of the Disclosure is submitted with the understanding thatit will not be used to interpret or limit the scope or meaning of theclaims. In addition, in the foregoing Detailed Description, variousfeatures may be grouped together or described in a single embodiment forthe purpose of streamlining the disclosure. This disclosure is not to beinterpreted as reflecting an intention that the claimed embodimentsrequire more features than are expressly recited in each claim. Rather,as the following claims reflect, inventive subject matter may bedirected to less than all of the features of any of the disclosedembodiments. Thus, the following claims are incorporated into theDetailed Description, with each claim standing on its own as definingseparately claimed subject matter.

The above disclosed subject matter is to be considered illustrative, andnot restrictive, and the appended claims are intended to cover all suchmodifications, enhancements, and other embodiments which fall within thetrue spirit and scope of the present disclosure. Thus, to the maximumextent allowed by law, the scope of the present disclosure is to bedetermined by the broadest permissible interpretation of the followingclaims and their equivalents, and shall not be restricted or limited bythe foregoing detailed description.

1. A method for automatically generating fully integrated regression andsystem testing (FIRST) analytics by utilizing one or more processors andone or more memories, the method comprising: accessing a productiondatabase to obtain production data associated with an application;accessing a user acceptance testing (UAT) database to obtain UAT dataassociated with the application; generating gap data on test coveragebased on comparing the production data with the UAT data; analyzing thegenerated gap data; automatically generating, in response to analyzingthe generated gap data, executable full coverage of test scenarios fortesting the application; automatically executing testing of theapplication based on the generated test scenarios; and implementing dataanalytics algorithm on historical production data to identify unique setof input data, received from a client device, that represents aconsumer's point of view for utilization of the application, forautomatically generating the full coverage of test scenarios. 2.(canceled)
 3. The method according to claim 1, further comprising:implementing the data analytics algorithm on the historical productiondata to identify unique set of input data; and implementing theidentified unique set of input data for re-platforming, migrating, andregression testing of the application.
 4. The method according to claim1, further comprising: aligning the full coverage of test scenarios witha test automation framework; and automatically executing end-to-end UATand regression testing of the application based on the test scenarios.5. The method according to claim 1, further comprising: aligning thefull coverage of test scenarios with a test automation framework; andautomatically executing end-to-end non-functional testing of theapplication based on the test scenarios.
 6. The method according toclaim 1, wherein the production data is defined and collected in view ofinput data, received from a client device, the input data representing aconsumer's point of view for utilization of the application.
 7. Themethod according to claim 1, further comprising: implementing agraphical user interface (GUI); and displaying the generated testscenarios and the generated gap data in test coverage onto the GUI. 8.The method according to claim 1, further comprising: automaticallygenerating test cases and data artefacts based on production events datacaptured from pre-production environment of a continuous integrationcontinuous delivery pipeline.
 9. The method according to claim 1,further comprising: generating test results based on executing thetesting of the application; sending an electronic notification of thetest results to a user; and receiving user feedback data on the testresults.
 10. A system for automatically generating fully integratedregression and system testing (FIRST) analytics, the system comprising:a production database having one or more memories for storing productiondata associated with an application; a user acceptance testing (UAT)database having another one or more memories for storing UAT dataassociated with the application; and a processor operatively connectedto the production database and the UAT database via one or morecommunication networks, wherein the processor is configured to: accessthe production database to obtain the production data associated withthe application; access the user acceptance testing (UAT) database toobtain the UAT data associated with the application; generate gap dataon test coverage based on comparing the production data with the UATdata; analyze the generated gap data; automatically generate, inresponse to analyzing the generated gap data, executable full coverageof test scenarios for testing the application; automatically executetesting of the application based on the generated test scenarios; andimplement data analytics algorithm on historical production data toidentify unique set of input data, received from a client device, thatrepresents a consumer's point of view for utilization of theapplication, for automatically generating the full coverage of testscenarios.
 11. (canceled)
 12. The system according to claim 10, whereinthe processor is further configured to: implement the data analyticsalgorithm on the historical production data to identify unique set ofinput data; and implement the identified unique set of input data forre-platforming, migrating, and regression testing of the application.13. The system according to claim 10, wherein the processor is furtherconfigured to: align the full coverage of test scenarios with a testautomation framework; and automatically execute end-to-endnon-functional testing of the application based on the test scenarios.14. The system according to claim 10, wherein the production data isdefined and collected in view of input data, received from a clientdevice, the input data representing a consumer's point of view forutilization of the application.
 15. The system according to claim 10,wherein the processor is further configured to: implement a graphicaluser interface (GUI); and display the generated test scenarios and thegenerated gap data in test coverage onto the GUI.
 16. The systemaccording to claim 12, wherein the processor is further configured to:automatically generate test cases and data artefacts based on productionevents data captured from pre-production environment of a continuousintegration continuous delivery pipeline.
 17. A non-transitory computerreadable medium configured to store instructions for automaticallygenerating fully integrated regression and system testing (FIRST)analytics, wherein, when executed, the instructions cause a processor toperform the following: accessing a production database to obtainproduction data associated with an application; accessing a useracceptance testing (UAT) database to obtain UAT data associated with theapplication; generating gap data on test coverage based on comparing theproduction data with the UAT data; analyzing the generated gap data;automatically generating, in response to analyzing the generated gapdata, executable full coverage of test scenarios for testing theapplication; automatically executing testing of the application based onthe generated test scenarios; and implementing data analytics algorithmon historical production data to identify unique set of input data,received from a client device, that represents a consumer's point ofview for utilization of the application, for automatically generatingthe full coverage of test scenarios.
 18. (canceled)
 19. Thenon-transitory computer readable medium according to claim 17, whereinthe instructions, when executed, causes the processor to further performthe following: implementing the data analytics algorithm on thehistorical production data to identify unique set of input data; andimplementing the identified unique set of input data for re-platforming,migrating, and regression testing of the application.
 20. Thenon-transitory computer readable medium according to claim 17, whereinthe instructions, when executed, causes the processor to further performthe following: aligning the full coverage of test scenarios with a testautomation framework; and automatically executing end-to-endnon-functional testing of the application based on the test scenarios.21. The non-transitory computer readable medium according to claim 17,wherein the instructions, when executed, causes the processor to furtherperform the following: automatically generating test cases and dataartefacts based on production events data captured from pre-productionenvironment of a continuous integration continuous delivery pipeline.22. The non-transitory computer readable medium according to claim 17,wherein the production data is defined and collected in view of inputdata, received from a client device, the input data representing aconsumer's point of view for utilization of the application.
 23. Thenon-transitory computer readable medium according to claim 17, whereinthe instructions, when executed, causes the processor to further performthe following: generating test results based on executing the testing ofthe application; sending an electronic notification of the test resultsto a user; and receiving user feedback data on the test results.